S
Steven R. Haynes
Researcher at Pennsylvania State University
Publications - 45
Citations - 547
Steven R. Haynes is an academic researcher from Pennsylvania State University. The author has contributed to research in topics: Soar & Information system. The author has an hindex of 12, co-authored 45 publications receiving 527 citations. Previous affiliations of Steven R. Haynes include London School of Economics and Political Science & Penn State College of Information Sciences and Technology.
Papers
More filters
Proceedings Article
Responsibility-Driven Explanation Engineering for Cognitive Models
TL;DR: This work examines the use of responsibility-driven design augmented with scenario-based techniques and classresponsibility-collaboration cards to identify explanation behaviors for cognitive model elements, and discusses the explanation benefits derived from encapsulating model behaviors within aspects.
Proceedings Article
Categorical Data Displays Generated from Three Cognitive Architectures Illustrate Their Behavior.
TL;DR: CaDaDis creates visible accounts of cognitive model behavior through a set of Categorical Data Displays, an extension to the architecture-independent VISTA toolkit that can display categorical and numeric data generated by models as they run.
Proceedings ArticleDOI
Institutional metrics for the United States Marine Corps
TL;DR: Current institutional metrics strategies with a particular emphasis on the balanced scorecard approach are explored, deemed most relevant because of its focus on strategic alignment and its applicability to noncommercial organizations.
Proceedings Article
Utility-theoretic training for mass casualty incidents
TL;DR: An approach to training emergency responders for mass casualty incidents using an integration of scenarios, hierarchical task analysis, interaction modeling, and expected utility theory to represent how actors engage in complex tasks is described.
Proceedings ArticleDOI
Modeling Meaningful Use as Utility in Emergency Medical Services
TL;DR: A novel integration of different approaches including scenario-based design, task analysis, and utility-based interaction modeling is used to develop a structured model of EMS activity and to identify where and how this activity can be supported with current and emerging information technologies.